AI Product Manager, Content Platform Operations and Publishing

Accountabilities

• • Define strategic product roadmaps and take concepts from discovery and validation through development, launch, measurement, and iteration.
  • Lead the incubation, design, and productionization of new AI and machine learning capabilities in partnership with applied researchers, data scientists, and engineers.
  • Integrate state-of-the-art AI and ML models into content platform and publishing tools to enable more personalized, contextual, and efficient experiences.
  • Identify opportunities to automate and optimize the creation of high-quality promotional assets across a rapidly growing global content catalog.
  • Discover the needs of artists, creators, content executives, and internal partners, translating those needs into clear product strategies and measurable solutions.
  • Develop AI-driven solutions for content distribution, asset management, localization, language experiences, and other complex content operations challenges.
  • Establish product success metrics, business cases, and evaluation frameworks using data, experimentation, and rigorous hypothesis-driven analysis.
  • Monitor AI and ML performance and continuously improve evaluation methodologies, models, workflows, and product experiences.
  • Communicate product vision, strategy, priorities, and technical concepts clearly to senior executives and non-technical stakeholders.
  • Build strong partnerships across product, engineering, research, data science, creative, and business teams to align diverse stakeholders around shared objectives.
  • Identify emerging AI technologies and translate relevant advancements into scalable, user-focused products and operational capabilities.
  • Represent the needs of internal users and creative partners while balancing technical feasibility, business value, quality, and long-term product strategy.

  Requirements

  • 7+ years of product management experience with a demonstrated record of launching impactful products or platforms, particularly in dynamic B2B2C environments.
  • Intermediate to advanced understanding of machine learning techniques, AI technologies, and ML evaluation best practices.
  • Proven experience leading end-to-end products incorporating machine learning or AI, including launching AI-enabled products and improving or customizing underlying models.
  • Practical understanding of the ML lifecycle, including data collection, labeling, model development, evaluation, and production deployment.
  • Strong analytical capabilities and experience using data, experimentation, and measurable outcomes to establish priorities and evaluate product impact.
  • Demonstrated ability to build and execute strategic roadmaps in complex, cross-functional environments.
  • Experience translating emerging AI or ML research and technologies into practical, scalable products.
  • Strong ability to mobilize teams and stakeholders around a common vision while building productive relationships across functions and geographies.
  • Excellent written, verbal, presentation, and executive communication skills, with the ability to make complex technical concepts accessible to non-technical audiences.
  • Experience building products for creative teams, internal users, or B2B enterprise customers is highly valuable.
  • Familiarity with media supply chains, content management or ingestion systems, catalog and taxonomy tools, or related content technology is a plus.
  • Strong product judgment, strategic thinking, curiosity, and comfort operating in ambiguous and rapidly evolving technology environments.

  Benefits

  • Annual compensation range of $310,000–$545,000 USD, varying based on location, background, skills, experience, and market factors.
  • Flexible annual compensation structure allowing employees to choose the mix of salary and stock options.
  • Comprehensive health plan options.
  • Mental health support and wellness resources.
  • 401(k) retirement plan with employer match.
  • Stock option program.
  • Disability programs.
  • Health Savings Accounts (HSA) and Flexible Spending Accounts (FSA).
  • Family-forming benefits.
  • Life and serious injury benefits.
  • Paid leave of absence programs.
  • Flexible time off for full-time salaried employees.
  • Remote work opportunity within the United States.
  • An innovative, collaborative environment focused on AI, machine learning, product innovation, and global content experiences.
  • Opportunities to work alongside researchers, engineers, data scientists, creative professionals, and senior business leaders on high-impact products.